Empassion Health

• Work directly with patients, providers, and families in our palliative care program • Enroll patients in our program and connect them with their providers • Ensure patients receive high-quality care • Act as a trusted resource for patients and their families • Collaborate on process improvement

• Partner with teams across the business and external partners to understand data needs and deliver reliable pipelines and models that solve real problems. • Build and maintain scalable ingestion and egress pipelines in Airflow and dbt Cloud, ensuring high quality, automated data flows across cloud environments. • Implement unit tests and monitoring to guarantee data integrity and reproducibility. • Model and transform and structure healthcare datasets into usable formats that power data science models, and other reporting marts. • Enhance and scale data models with SQL and dbt, ensuring precision and adaptability for new partnerships. • Write Python code for Apache Airflow DAGs, components and utilities that orchestrate and monitor data workflows. Build complex pipelines that enable flexible scheduling, conditional logic, and smooth integration across multiple data sources.

• Collaborate with cross-functional teams to understand business requirements and report on data from various sources • Calculate traditional (PMPM costs, utilization, etc.) and novel (program engagement, capitation rates, etc.) healthcare metrics from claims and product data • Help to validate regular claims and eligibility data refreshes • Act as a healthcare data SME on a rapidly growing Data & Analytics team • Design, develop, and maintain algorithms and data models, using SQL and dbt • Create visually appealing and informative visualizations and dashboards to communicate data insights and enable data-driven decision-making • Create documentation and training materials for technical and non-technical users of data products